Quantitative phase imaging : a study from 2D to 3D

Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.

Bibliographic Details
Main Author: Jin, Di, Ph.D. Massachusetts Institute of Technology
Other Authors: Peter T.C. So.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2017
Subjects:
Online Access:http://hdl.handle.net/1721.1/111752
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author Jin, Di, Ph.D. Massachusetts Institute of Technology
author2 Peter T.C. So.
author_facet Peter T.C. So.
Jin, Di, Ph.D. Massachusetts Institute of Technology
author_sort Jin, Di, Ph.D. Massachusetts Institute of Technology
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description Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.
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spelling mit-1721.1/1117522021-10-03T03:56:39Z Quantitative phase imaging : a study from 2D to 3D QPI : a study from two-dimensional to three-dimensional Jin, Di, Ph.D. Massachusetts Institute of Technology Peter T.C. So. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering Mechanical Engineering. Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (pages 65-72). In this thesis, quantitative phase imaging (QPI) techniques including 2D and 3D versions are investigated and presented. With QPI, biophysical and biochemical information of transparent biological micro-specimens can be measured and quantified. 2D quantitative phase maps of cell samples on the one hand can retrieve morphological shapes, and on the other hand can be converted to dry mass values, which are important bio-markers for cell growth studies. By adapting QPI system into an image cytometer, termed Quantitative phase cytometer (QPC), a large population of ~ 10⁴ HeLa cells were characterized with single-cell level morphology information and dry mass histogram. Next, in order to gain more accurate information such as nuclear shape, nuclear dry mass, and nuclear-to-cytoplasm volume ratio, 3D tomographic versions of QPI, i.e., tomographic phase microscopy (TPM), was introduced, which extended the QPI technique from 2D to 3D in imaging capability. To augment the throughput of TPM system, a digital micro-mirror device (DMD) was used to provide the angle scanning illumination, which significantly boosts the angle scanning speed to the magnitude of kHz. However, this angle scanning method suffers from the diffraction noise caused by the binary grating pattern, which significantly deteriorates the imaging quality. To solve this problem, a novel dynamic spatial filtering method was proposed to perfectly eliminate the diffraction noise for DMD based high-speed angle-scanning TPM systems. In summary, the QPI techniques in 2D and 3D modalities provide a promising quantitative tool for label-free characterization of biological samples. by Di Jin. S.M. 2017-10-04T15:06:53Z 2017-10-04T15:06:53Z 2017 2017 Thesis http://hdl.handle.net/1721.1/111752 1004513868 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 72 pages application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering.
Jin, Di, Ph.D. Massachusetts Institute of Technology
Quantitative phase imaging : a study from 2D to 3D
title Quantitative phase imaging : a study from 2D to 3D
title_full Quantitative phase imaging : a study from 2D to 3D
title_fullStr Quantitative phase imaging : a study from 2D to 3D
title_full_unstemmed Quantitative phase imaging : a study from 2D to 3D
title_short Quantitative phase imaging : a study from 2D to 3D
title_sort quantitative phase imaging a study from 2d to 3d
topic Mechanical Engineering.
url http://hdl.handle.net/1721.1/111752
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